The Main Reasons for the Revival of Islam in Independent Kazakhstan
Bibliographic record
Abstract
In the modern world history, we notice such phenomena as; globalization, digitalization, value pluralism, mass migration, terrorism, post-secularity, etc., which characterize the current nature of human civilization. Recently, among these trends, the phenomenon of the “revival of Islam” has emerged. Therefore, the systematic discussion relating to the phenomenon of Islam in the socio-cultural processes of the society has prevalent in religious studies. This topic has gained considerable attention by Kazakh researchers have also paid attention to this topic. The society of Kazakhstan has closely related to Islam in aspects of culture, history, personality, and morality. Since the collapse of the United Socialist Soviet Republics (USSR), Kazakhstan has gradually been becoming one of the fastest growing countries in Central Asia, focusing on modernization processes. Even though it follows secular nature of constitution, it has not only allowed the reentrance of traditional religious presence, but scholars have also noticed features of religious revival. Purpose of the article analyze the main factors that activated the mass- revival of Islam within the Kazakh society after the country's independence. Leading methods − conceptual analysis, structural analysis, and comparative analysis. Thanks to a systematic generalization of domestic and foreign researchers’ views, as well as sociological data, it became possible to form common knowledge about the causes of the revival of Islam in Kazakhstan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".